Open Access
| Issue |
RAIRO-Oper. Res.
Volume 60, Number 1, January-February 2026
|
|
|---|---|---|
| Page(s) | 121 - 138 | |
| DOI | https://doi.org/10.1051/ro/2025162 | |
| Published online | 23 February 2026 | |
- S. Aggarwal and N. Kumar, Path planning techniques for unmanned aerial vehicles: a review, solutions, and challenges. Comput. Commun. 149 (2020) 270–299. [CrossRef] [Google Scholar]
- A. Ait Saadi, A. Soukane, Y. Meraihi, A. Benmessaoud Gabis, S. Mirjalili and A. Ramdane-Cherif, UAV path planning using optimization approaches: a survey. Arch. Comput. Methods Eng. 29 (2022) 4233–4284. [CrossRef] [Google Scholar]
- G. Cherif, B. Trouillet and A.K.A. Toguyeni, Modeling and routing problems of automated port using T-TPN and Beam search, in 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT). Vol. 1. IEEE (2022) 1201–1206. [Google Scholar]
- M. Croucamp and J. Grobler, Metaheuristics for the robot part sequencing and allocation problem with collision avoidance, in Progress in Artificial Intelligence: 20th EPIA Conference on Artificial Intelligence, EPIA 2021, Virtual Event, September 7–9, 2021, Proceedings 20. Springer (2021) 469–481. [Google Scholar]
- N. Danloup, B. Trouillet, T. Bourdeaud’huy and A. Toguyéni, Optimisation de tournées de véhicules dans un environnement portuaire, in GOL 2018 – International Conference on Logistics Operations Management, Apr 2018, Le Havre, France (2018). [Google Scholar]
- N. Danloup, B. Trouillet, A. Toguyéni and T. Bourdeaud’Huy, Gestion d’une flotte de véhicules automatisés dans un environnement portuaire, in MSR 2019-12ème Colloque sur la Modélisation des Systèmes Réactifs, Nov 2019, Angers, France (2019). [Google Scholar]
- S.A. Fayazi and A. Vahidi, Mixed-Integer linear programming for optimal scheduling of autonomous vehicle intersection crossing. IEEE Trans. Intell. Veh. 3 (2018) 287–299. [Google Scholar]
- H. Fazlollahtabar and S. Hassanli, Hybrid cost and time path planning for multiple autonomous guided vehicles. Appl. Intell. 48 (2018) 482–498. [Google Scholar]
- S. Ghambari, M. Golabi, L. Jourdan, J. Lepagnot and L. Idoumghar, UAV path planning techniques: a survey. RAIRO-Oper. Res. 58 (2024) 2951–2989. [Google Scholar]
- M. Harrison, Z. Yang, T.T. Nguyen, S. Kavakeb, J. Wang and S. Bonsall, A TOPSIS method for vehicle route selection in seaports – a real case analysis of a container terminal in North West Europe, in 2015 International Conference on Transportation Information and Safety (ICTIS). IEEE (2015) 599–606. [Google Scholar]
- H.W. Kuhn, The hungarian method for the assignment problem. Naval Res. Logistics Q. 2 (1955) 83–97. [Google Scholar]
- D.K. Liu, X. Wu, A.K. Kulatunga and G. Dissanayake, Motion coordination of multiple autonomous vehicles in dynamic and strictly constrained environments, in 2006 IEEE Conference on Cybernetics and Intelligent Systems. IEEE (2006) 1–6. [Google Scholar]
- H. Ma, S. Koenig, N. Ayanian, L. Cohen, W. Hönig, T.K. Kumar, T. Uras, H. Xu, C. Tovey and G. Sharon, Overview: generalizations of multi-agent path finding to real-world scenarios. Preprint arXiv:1702.05515 (2017). [Google Scholar]
- T. Miyamoto and K. Inoue, Local and random searches for dispatch and conflict-free routing problem of capacitated AGV systems. Comput. Ind. Eng. 91 (2016) 1–9. [Google Scholar]
- T. Nishi, Y. Hiranaka and I.E. Grossmann, A bilevel decomposition algorithm for simultaneous production scheduling and conflict-free routing for automated guided vehicles. Comput. Oper. Res. 38 (2011) 876–888. [Google Scholar]
- R. Stern, Multi-agent path finding – an overview, in Artificial Intelligence: 5th RAAI Summer School, Dolgoprudny, Russia, July 4–7, 2019, Tutorial Lectures (2019) 96–115. [Google Scholar]
- R. Stern, N. Sturtevant, A. Felner, S. Koenig, H. Ma, T. Walker, J. Li, D. Atzmon, L. Cohen, T.K. Kumar, R. Barták and E. Boyarski, Multi-agent pathfinding: definitions, variants, and benchmarks. Proc. Int. Symp. Comb. Search 10 (2019) 151–158. [Google Scholar]
- K. Terfasse, G. Cherif and M.-J. Huguet, Integer linear programming for automated guided vehicles path planning in container terminals, in 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE (2024) 940–945. [Google Scholar]
- S. Yuan, H. Lau, D.K. Liu, S.D. Huang, G. Dissanayake, D. Pagac and T. Pratley, Simultaneous dynamic scheduling and collision-free path planning for multiple autonomous vehicles, in 2009 International Conference on Information and Automation. IEEE (2009) 522–527. [Google Scholar]
- Z. Zhang, Q. Guo, J. Chen and P. Yuan, Collision-free route planning for multiple AGVs in an automated warehouse based on collision classification. IEEE Access 6 (2018) 26022–26035. [Google Scholar]
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